CN102291181B - Polarization control method and system of distributed optical fiber disturbance positioning system - Google Patents
Polarization control method and system of distributed optical fiber disturbance positioning system Download PDFInfo
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Abstract
The invention discloses a polarization control method and system applied to a distributed optical fiber disturbance positioning system. The control method comprises the following steps: on the basis of taking a chaotic particle swarm optimization algorithm as a control algorithm in the polarization control, modulating the interference optical wave polarization state by utilizing a polarization controller; and on the basis of taking the relevancy between two ways of interference signals which are received by a detector in the distributed optical fiber disturbance positioning system as feedback signals, searching for the external voltage value of the polarization controller corresponding to the maximum relevancy by utilizing the chaotic particle swarm optimization algorithm. The polarization control system comprises a continuously distributed optical fiber sensing system based on dual Mach-Zehnder optical fiber interference instruments, an extruded polarization controller, a birefringent phase modulator, a single chip micyoco system, a computer and algorithm software. According to the control method of the optical fiber interference polarization state provided by the invention, the anti-polarization fading capability of the system can be improved effectively through controlling and regulating the polarization state of the interference light, and the influence of single mode optical fiber birefringence on the system positioning accuracy is eliminated to a large extent.
Description
Technical field
The invention belongs to sensing and detection technique field, particularly a kind of distributed optical fiber disturbance positioning system polarization control method and control system based on Chaos particle swarm optimization algorithm.
Background technology
Along with social development, the security of the important areas such as airport, military base, government, prison, bank, oil depot seems particularly important.Distributed optical fiber disturbance positioning system adopts optical interference technology to realize invasion Disturbance Detection and location, has long distance detection, high-precision fixed bit function, low energy dependence, high environmental resistance, anti-electromagnetic interference, the characteristic such as anticorrosive.
It is that line polarisation and polarization direction are consistent that two-beam produces one of essential condition of interference light that participation is interfered exactly, in the hypothesis of the location algorithm of distributed optical fiber disturbance positioning system based on same polarization direction line polarization interference, launches.
Distributed optical fiber disturbance positioning system is mainly used in perimeter protection, seismic monitoring etc., optical fiber used reaches tens of kilometers kilometers even up to a hundred, if application polarization maintaining optical fibre and corresponding kit thereof will be very expensive, the sensor fibre that this system of the consideration based on cost aspect is used is the monomode fiber generally using.
General single mode fiber is due to enchancement factors such as geometry bending, environment temperature variations, and the impact of other nonrandom errors, capital causes fiber birefringence, thereby while causing line polarisation to transmit in general single mode fiber, polarization state changes, and causes the polarization state of line polarisation to be degenerated.Polarization state is degenerated not only can affect interference quality of output signals, and has a strong impact on the positioning precision of whole system.Therefore in distributed optical fiber disturbance positioning system, must take Polarization Control to interference light, the variation of compensating interferometer polarization state, thereby the anti-polarization decay ability of raising whole system, the positioning precision of raising system.
Goal of the invention
The present invention seeks to solve existing distributed optical fiber disturbance positioning system because using general single mode fiber to exist polarization state to degenerate, and the problem of quality of output signals and positioning precision is interfered in impact, provide a kind of distributed optical fiber disturbance positioning system polarization control method and control system based on Chaos particle swarm optimization algorithm.Utilize Chaos particle swarm optimization algorithm to adjust the polarization state of flashlight in the optical fiber of optical fiber disturbance navigation system Yi road, make to interfere the polarization state of two arms to be consistent as far as possible, thereby effectively improve the positioning precision of perturbed system.
Technical scheme
1, the basic principle of distributed optical fiber disturbance positioning system
Distributed optical fiber disturbance positioning system as shown in Figure 1, this system, based on two Mach-Zehnder fibre optic interferometer principles, utilizes two measuring fibers of two monomode fibers formation Mach-Zehnder fibre optic interferometers in optical cable to respond to optical cable disturbing signal around.
Sensor fibre F1 and F2 be two groups of contrary light waves of the direction of propagation simultaneously, optical cable disturbance around can be modulated the phase of light wave of propagating in optical fiber, thereby interference signal is modulated, phase place interferes in coupler through the two-beam of ovennodulation, and interference light outputs to photodetector through circulator.Because disturbance occurrence positions is different to the distance of distributed sensor two end detectors, and the propagation velocity of light wave in optical fiber is certain, the time difference of same event therefore according to two detectors, detected, can accurately orient locale.Positioning principle as shown in Figure 2.If two photodetector D1 of distributed optical fiber disturbance positioning system and D2 detect the time of same disturbance event and are respectively t
1and t
2, Δ t=t
1-t
2, the length that L is sensing optic cable, x be disturbance point apart from the position of coupler 5, its ranging formula is
In formula, v is the propagation velocity of light wave in monomode fiber, the m/s of unit, and v=c/n wherein, c is light speed (3 * 10 in a vacuum
8m/s), n is the refractive index of optical fiber.
2, the distributed optical fiber disturbance alignment sensor polarization control system based on Chaos particle swarm optimization algorithm, comprising:
Basic distributed fiberoptic sensor based on two Mach-Zehnder fibre optic interferometers: for generation of interference signal, carry out disturbances location, polarization control system is to add what Polarization Control device was realized on the basis of this transducer;
Extrusion pressing type Polarization Controller: have four direction of extrusion staggered squeezers at 45 °, in control procedure, use the first two optical fiber squeezer wherein, the voltage that two squeezers is applied to various combination can carry out different modulation to the polarization state of input light wave, thus the light wave of output different polarization states.Polarization Controller is added in to a wherein road of basic distributed optical fiber sensing system sensor fibre, by modulating the polarization state of this road light signal, realizes Polarization Control;
LiNbO
3birefringent phase modulator: for generation of reference signal, be added in sensor fibre another road corresponding with Polarization Controller place end of basic distributed optical fiber sensing system, for generation of sinusoidal phase modulation, phase modulated signal is interfered and is produced intensity Sine Modulated through two Mach-Zehnder fibre optic interferometers, by two photodetectors, received respectively, if do not exist polarization to degenerate, the two-way interference signal that in basic distributed optical fiber sensing system, two photodetectors receive has fixed delay and amplitude equates;
Data collecting card: the voltage signal to two photodetectors gathers, and send into computer and process;
Computer: realize the processing of the collection signal that data collecting card is sent into by the software programming in computer, to realize the iterative search of best modulation voltage, and the best modulation voltage searching is fed back to Polarization Controller and phase-modulator by Single Chip Microcomputer (SCM) system;
Single Chip Microcomputer (SCM) system: by communicating with computer, output digit signals is directly controlled Polarization Controller; Sine wave output signal, modulates phase-modulator.
This polarization control system is shown in Fig. 5.
3, a kind of polarization control method that uses the distributed optical fiber disturbance positioning system of the above system
It is that line polarisation and polarization direction are consistent that two-beam produces one of essential condition of interference light that participation is interfered exactly, in the hypothesis of the location algorithm of distributed optical fiber disturbance positioning system based on same polarization direction line polarization interference, launches.
Distributed optical fiber disturbance positioning system is mainly used in perimeter protection, seismic monitoring etc., optical fiber used reaches tens of kilometers kilometers even up to a hundred, if application polarization maintaining optical fibre and corresponding kit thereof will be very expensive, the sensor fibre that this system of the consideration based on cost aspect is used is the monomode fiber generally using.
General single mode fiber is due to enchancement factors such as geometry bending, environment temperature variations, and the impact of other nonrandom errors, capital causes fiber birefringence, thereby while causing line polarisation to transmit in general single mode fiber, polarization state changes, and causes the polarization state of line polarisation to be degenerated.Polarization state is degenerated not only can affect interference quality of output signals, and has a strong impact on the positioning precision of whole system.
Figure 3 shows that the two paths of signals that distributed optical fiber disturbance positioning system gathers while not carrying out Polarization Control, the two paths of signals similarity shown in figure is minimum, does not see the contact of two paths of signals completely.Disturbance point to 250m place positions, and through the locator value that draws after demarcating, from-360m to 2015m, depart from actual value completely, and locator value is randomly dispersed in a very large scope.
The polarization state of adjusting distributed optical fiber disturbance positioning system, makes the two paths of signals of this system acquisition basically identical, as shown in Figure 4.Now polarization state is degenerated and well to be compensated, and is also to using the similarity degree of two paths of signals as feedback signal in Polarization Control.Now apply this system 250m place disturbance point positioned, through calibrated locator value scope be 225m to 255m, worst error is 25m, belongs to acceptable error.
In the distributed optical fiber disturbance positioning system of practical application, must take Polarization Control to interference light, the variation of compensating interferometer polarization state, thereby the anti-polarization decay ability of raising whole system, the positioning precision of raising system.
The present invention adopts Chaos particle swarm optimization algorithm as the algorithm of Polarization Control, utilizes extruding optical-fiber type Polarization Controller to modulate light signal polarization state.Chaos particle swarm optimization algorithm is to using in distributed optical fiber disturbance positioning system the degree of correlation of the two paths of signals that two photodetectors receive as feedback signal, corresponding Polarization Controller applied voltage value while utilizing the Chaos particle swarm optimization algorithm search two paths of signals degree of correlation the highest.This polarization control system comprises: the basic distributed optical fiber sensing system based on two Mach-Zehnder fibre optic interferometers, extrusion pressing type Polarization Controller, LiNbO
3birefringent phase modulator, Single Chip Microcomputer (SCM) system, computer and algorithm software.This method proposes a kind of polarization state control method to interference light in optical fiber, by controlling the polarization state of interference light, can effectively improve the anti-polarization decay ability of system, and eliminate to a great extent the impact of monomode fiber birefringence on systematic function.
Particle group optimizing (PSO) algorithm is that simulation flock of birds and the shoal of fish are looked for food and migrate and assemble the evolution algorithm of behavior in process, have program realize simple, control the few feature of parameter.Chaos is a kind of general non-linear phenomena, and its behavior is complicated and similar random, but it has exquisite inherent law, and in optimization field, the ergodic feature of chaos avoids being absorbed in a kind of Optimization Mechanism of local minimum in can be used as search procedure.
In the present invention, use Chaos particle swarm optimization algorithm to carry out Polarization Control as control algolithm, this optimized algorithm has been inherited the plurality of advantages such as gradient information that basic particle group algorithm is easy to realization, fast convergence rate, does not need target function, and chaos is introduced to particle cluster algorithm outward and improved the local convergence that basic particle group algorithm exists, initial solution group away from deficiencies such as optimal solutions, be the fabulous method that solves Global Optimal Problem.
(two paths of signals similitude is better for the degree of correlation of the two paths of signals receiving with two photodetectors in distributed optical fiber disturbance positioning system in Polarization Control, the degree of correlation is higher) as feedback signal, be the desired value of algorithm, so the optimum solution of target function is the two paths of signals degree of correlation front two squeezer applied voltage values of corresponding Polarization Controller when the highest.Particle is tending towards gradually whole optimum solution under the acting in conjunction of feedback signal and current search optimum solution, when meeting stopping criterion for iteration, search utility stops search, and by voltage input polarization controller two squeezers corresponding to optimum solution vector, thereby complete Polarization Control process.
This polarization control method flow process is as follows:
The first, the sine wave of applying certain frequency and amplitude to phase-modulator on sensor fibre one arm, as with reference to signal.
Whether the degree of correlation that the second, judges in distributed optical fiber disturbance positioning system the two paths of signals that two photodetectors receive is greater than the threshold value setting, if the degree of correlation is less than threshold value, utilize Chaos particle swarm optimization algorithm to carry out iterative search to the optimum voltage value being applied on two squeezers of Polarization Controller, thereby realize Polarization Control.
In Polarization Control, use two squeezers of Polarization Controller, this problem can be described in order to minor function:
P＝f(V
1，V
2)
V wherein
i(i=1,2) are the magnitude of voltage applying on two squeezers, and P is the degree of correlation of the two paths of signals that in now corresponding navigation system, two photodetectors receive.V when P reaches maximum
i(i=1,2) value is for optimum voltage value, and now system is in optimum Working, thereby realized Polarization Control, improved the positioning precision of system.
Search procedure as the Chaos particle swarm optimization algorithm of Polarization Control algorithm is as follows:
(1) chaos initialization, produces one 2 dimension, the vectorial z of each component values between 0:1 at random
1=(z
11, z
12), by z
i+1j=μ z
ij(1-z
ij), i=1,2 ..., 99, j=1,2, μ=4, obtain 100 vectorial z
1, z
2... z
100; By z
ieach component carrier to the span of optimized variable: x
ij=a
j+ (b
j-a
j) z
ij, i=1,2 ..., 99, j=1,2, a
j, b
jbe respectively the minimum value and the maximum that are input to magnitude of voltage on squeezer; Calculating target function P selects 20 maximum solutions of P value as initial solution X from 100 initial population
i=(V
i1, V
i2), i=1,2 ..., 20, and produce at random 20 initial velocity v
i, i=1,2 ..., 20;
(2) be individual extreme value pfbest by the P of each primary is worthwhile
i0, initial solution X
ias individual extreme value place pxbest
i0; According to the individual extreme value pfbest of each particle
i0, find out global extremum gfbest
0with global extremum position gxbest
0;
(3) to extreme value place gxbest
0=(gx
01, gx
02) carry out chaos optimization, produce at random one 2 dimension, the vectorial u of each component values between 0:1
0=(u
01, u
02); Produce u
i=(u
i1, u
i2), u
i+1j=4u
ij(1-u
ij), (j=1,2), by u
ieach component carrier in chaotic disturbance scope [β, β], wherein β is a less constant of input voltage value on relative squeezer, disturbance quantity Δ x
i=(Δ x
i1, Δ x
i2) be Δ x
ij=-β+2 β u
ij, u
0=u
1; Gx
0j (i)=gx
0j+ Δ x
i; Each feasible solution gx in solution space to Chaos Variable experience
0j (i)calculate its P value, obtain optimal value Pgf
0jcorresponding optimal location Pgx with it
0j, use Pgx
0jthe position that replaces any one particle in current colony;
(4) according to formula
The more speed of new particle and position, wherein c
0, c
1, c
2for constant;
(5) if particle P value is better than individual extreme value pfbest
ik, pxbest
ikbe set to reposition;
(6) if particle P value is better than global extremum gfbest
k, gxbest
kbe set to reposition;
(7) to optimal location gxbest
k=(gx
k1, gx
k2) carry out chaos optimization, produce at random one 2 dimension, the vectorial u of each component values between 0:1
0=(u
01, u
02), produce u
i=(u
i1, u
i2), u
i+1j=4u
ij(1-u
ij), (j=0,1), by u
ieach component carrier in chaotic disturbance scope [β, β], disturbance quantity Δ x
i=(Δ x
i1, Δ x
i2) be Δ x
ij=-β+2 β u
ij, u
0=u
1; Gx
kj (i)=gx
kj+ Δ x
i, each the feasible solution gx in solution space to Chaos Variable experience
kj (i), calculate its P value, obtain optimal value Pgf
kjwith optimal location Pgx
kj, use Pgx
kjthe position that replaces any one particle in current colony;
(8) if optimal value Pgf
kjbe less than certain value of setting, while meeting stop condition, search stops, and output global extremum position, exports the optimum voltage value of two squeezers, otherwise return to step (4).
Advantage of the present invention and beneficial effect:
The present invention proposes a kind of polarization control method for distributed optical fiber disturbance positioning system.At present, most distributed optical fiber disturbance positioning system, owing to not carrying out Polarization Control, causes positioning precision poor.The present invention proposes a kind of polarization control method for distributed optical fiber disturbance positioning system, the chaotic particle swarm optimization control algolithm that the method is used has been inherited the plurality of advantages such as gradient information that basic particle group algorithm is easy to realization, fast convergence rate, does not need target function, and chaos is introduced to particle cluster algorithm outward and improved the local convergence that basic particle group algorithm exists, initial solution group away from deficiencies such as optimal solutions, can realize the effective control to polarization state.Utilize the method to adjust the polarization state of flashlight in the optical fiber of optical fiber disturbance navigation system Zhong Yi road, make to interfere the polarization state of two arms to be consistent as far as possible, improve the anti-polarization decay ability of whole system, improve the positioning precision of system.
Accompanying drawing explanation
Fig. 1 is distributed optical fiber disturbance positioning system;
Fig. 2 is positioning principle figure;
Fig. 3 is the two paths of signals that does not carry out Polarization Control of distributed optical fiber disturbance positioning system collection;
Fig. 4 is the Polarization Control two paths of signals of system acquisition afterwards;
Fig. 5 is polarization control system;
Fig. 6 is Polarization Control algorithm search schematic diagram;
In figure, 1 and 9 is lasers, and 2,5,6,10,13 and 14 is couplers, and 3,4,11 and 12 is optical circulators, 7a is sensor fibre F1 in optical cable, and 7b is sensor fibre F2 in optical cable, 8a and 18a photodetector D1,8b and 18b photodetector D2, the 15th, Polarization Controller, the 16th, LiNbO
3birefringent phase modulator, the 17th, sensing optic cable, the 19th, Single Chip Microcomputer (SCM) system, the 20th, computer, the 21st, capture card.
[preferred forms]:
Embodiment 1: for the polarization control system of distributed optical fiber disturbance positioning system
As shown in Figure 5, this system comprises:
Extrusion pressing type Polarization Controller 15: have four direction of extrusion staggered squeezers at 45 °, in control procedure, use the first two optical fiber squeezer wherein, the voltage that two squeezers is applied to various combination can carry out different modulation to the polarization state of input light wave, thus the light wave of output different polarization states.Polarization Controller is added in to a wherein road of basic distributed optical fiber sensing system sensor fibre, by modulating the polarization state of this road light signal, realizes Polarization Control;
LiNbO
3birefringent phase modulator 16: for generation of reference signal, be added in sensor fibre another road corresponding with Polarization Controller place end of basic distributed optical fiber sensing system, for generation of sinusoidal phase modulation, phase modulated signal is interfered and is produced intensity Sine Modulated through two Mach-Zehnder fibre optic interferometers, by two photodetectors, received respectively, if do not exist polarization to degenerate, the two-way interference signal that in basic distributed optical fiber sensing system, two photodetectors receive has fixed delay and amplitude equates;
Data collecting card (DAQ Card) 21: the voltage signal to two photodetector 18a and 18b gathers, and send into computer and process.
Computer (PC) 20: realize the processing of the collection signal that data collecting card is sent into by the software programming in computer, to realize the iterative search of best modulation voltage, and the best modulation voltage searching is fed back to Polarization Controller and phase-modulator by Single Chip Microcomputer (SCM) system.
Single Chip Microcomputer (SCM) system (SCM) 19: by communicating with computer, output digit signals is directly controlled Polarization Controller; Sine wave output signal, modulates phase-modulator.
Embodiment 2, the polarization control method based on Chaos particle swarm optimization algorithm
As shown in Figure 5, the light signal of sensor fibre one arm is input in Polarization Controller, and after Polarization Control, two-way interference signal enters respectively two detectors, and data collecting card gathers two paths of signals and signal is sent into computer.The software algorithm of computer-internal is adjusted the position vector of each particle in Chaos particle swarm optimization algorithm according to the degree of correlation of fed back two-way interference signal, change each position vector corresponding be applied to the magnitude of voltage on Polarization Controller squeezer.The polarization state of Polarization Controller incident light wave is carried out continuous control and utilized feedback signal to carry out optimal value search, until the degree of correlation of two paths of signals corresponding to feedback signal stops while meeting search end condition.
To the system shown in Fig. 5, in conjunction with the search routine shown in Fig. 6, with certain Polarization Control example, computational process is described below:
Setting feedback degree of correlation maximum is 1, and worst error is 2%.
1, good initial solution is selected in chaos initialization from Chaotic Solution, random initializtion speed.
2,, by voltage input polarization controller corresponding to initial solution, read the degree of correlation of two paths of signals corresponding to each initial solution.The initial solution corresponding with the highest degree of correlation is whole optimum solution, and now whole optimum solution is (1272,2700), the corresponding degree of correlation 0.94718, and error is 5.282% to be greater than specification error, carries out chaos optimization for the first time.
3, initial global optimum is carried out to chaos optimization, now optimize optimum solution for (1217,2604), the corresponding degree of correlation is 0.95739, error is 4.261% to be greater than specification error, the optimal solution of chaos optimization is replaced to the position of any one particle in current colony.
4, particle carries out position renewal and speed renewal according to individual the best and overall the best, and again the feedback degree of correlation is surveyed, obtain global optimum, global optimum is carried out to chaos optimization, now optimizing the best is (2468,890), the corresponding degree of correlation is 0.96369, and error is 3.631% to be greater than specification error.
Repeating step 4, carries out iterative search.
5, finishing iteration search when certain iterative search is less than 2% (set point) to the degree of correlation and peaked error, now optimum solution be (2465,892), and the degree of correlation of correspondence is 0.98179, and error is 1.821%.
The position of each particle in table one search procedure (be solution vector, underscore is whole best)
Claims (2)
1. the distributed optical fiber disturbance alignment sensor polarization control system based on Chaos particle swarm optimization algorithm, is characterized in that this system comprises:
Basic distributed fiberoptic sensor based on two Mach-Zehnder fibre optic interferometers: for generation of interference signal, carry out disturbances location, polarization control system is to add what Polarization Control device was realized on the basis of this transducer;
Extrusion pressing type Polarization Controller: have four direction of extrusion staggered squeezers at 45 °, in control procedure, use the first two optical fiber squeezer wherein, the voltage that two squeezers is applied to various combination can carry out different modulation to the polarization state of input light wave, thus the light wave of output different polarization states; Polarization Controller is added in to a wherein road of basic distributed optical fiber sensing system sensor fibre, by modulating the polarization state of this road light signal, realizes Polarization Control;
LiNbO
3birefringent phase modulator: for generation of reference signal, be added in sensor fibre another road corresponding with Polarization Controller place end of basic distributed optical fiber sensing system, for generation of sinusoidal phase modulation, phase modulated signal is interfered and is produced intensity Sine Modulated through two Mach-Zehnder fibre optic interferometers, by two photodetectors, received respectively, if do not exist polarization to degenerate, the two-way interference signal that in basic distributed optical fiber sensing system, two photodetectors receive has fixed delay and amplitude equates;
Data collecting card: the voltage signal to two photodetectors gathers, and send into computer and process;
Computer: realize the processing of the collection signal that data collecting card is sent into by the software programming in computer, to realize the iterative search of best modulation voltage, and the best modulation voltage searching is fed back to Polarization Controller and phase-modulator by Single Chip Microcomputer (SCM) system;
Single Chip Microcomputer (SCM) system: by communicating with computer, output digit signals is directly controlled Polarization Controller; Sine wave output signal, modulates phase-modulator;
Wherein, described computer is adjusted the position vector of each particle in Chaos particle swarm optimization algorithm according to the degree of correlation of fed back two-way interference signal, change each position vector corresponding be applied to the magnitude of voltage on Polarization Controller squeezer, the polarization state of Polarization Controller incident light wave is carried out continuous control and utilized feedback signal to carry out optimal value search, until the degree of correlation of two paths of signals corresponding to feedback signal stops while meeting search end condition;
Two squeezers of the Polarization Controller using in Polarization Control, this problem can be described in order to minor function:
P=f(V
1,V
2)
V wherein
i, i=1,2 are respectively the magnitude of voltage applying on two squeezers, and P is the degree of correlation of the two paths of signals that in now corresponding navigation system, two photodetectors receive; V when P reaches maximum
ivalue is for optimum voltage value, and now system is in optimum Working, thereby realized Polarization Control, improved the positioning precision of system;
Search procedure as the Chaos particle swarm optimization algorithm of Polarization Control algorithm is as follows:
(1) chaos initialization, produces one 2 dimension, the vectorial z of each component values between 0～1 at random
1=(z
11, z
12), by z
i+1j=μ z
ij(1-z
ij), i=1,2 ..., 99, j=1,2, μ=4, obtain 100 vectorial z
1, z
2... z
100; By z
ieach component carrier to the span of optimized variable: x
ij=a
j+ (b
j-a
j) z
ij, i=1,2 ..., 99, j=1,2, a
j, b
jbe respectively the minimum value and the maximum that are input to magnitude of voltage on squeezer; Calculating target function P selects 20 maximum solutions of P value as initial solution X from 100 initial population
i=(V
i1, V
i2), i=1,2 ..., 20, and produce at random 20 initial velocity v
i, i=1,2 ..., 20;
(2) be individual extreme value pfbest by the P of each primary is worthwhile
i0, initial solution X
ias individual extreme value place pxbest
i0; According to the individual extreme value pfbest of each particle
i0, find out global extremum gfbest
0with global extremum position gxbest
0;
(3) to extreme value place gxbest
0=(gx
01, gx
02) carry out chaos optimization, produce at random one 2 dimension, the vectorial u of each component values between 0～1
0=(u
01, u
02); Produce u
i=(u
i1, u
i2), u
i+1j=4u
ij(1-u
ij), (j=1,2), by u
ieach component carrier in chaotic disturbance scope [β, β], wherein β is a less constant of input voltage value on relative squeezer, disturbance quantity Δ x
i=(Δ x
i1, Δ x
i2) be Δ x
ij=-β+2 β u
ij, u
0=u
1; Gx
0j (i)=gx
0j+ Δ x
i; Each feasible solution gx in solution space to Chaos Variable experience
oj (i)calculate its P value, obtain optimal value Pgf
0jcorresponding optimal location Pgx with it
0j, use Pgx
0jthe position that replaces any one particle in current colony;
(4) according to formula
The more speed of new particle and position, wherein c
0, c
1, c
2for constant;
(5) if particle P value is better than individual extreme value pfbest
ik, pxbest
ikbe set to reposition;
(6) if particle P value is better than global extremum gfbest
k, gxbest
kbe set to reposition;
(7) to optimal location gxbest
k=(gx
k1, gx
k2) carry out chaos optimization, produce at random one 2 dimension, the vectorial u of each component values between 0～1
0=(u
01, u
02), produce u
i=(u
i1, u
i2), u
i+1j=4u
ij(1-u
ij), (j=0,1), by u
ieach component carrier in chaotic disturbance scope [β, β], disturbance quantity Δ x
i=(Δ x
i1, Δ x
i2) be Δ x
ij=-β+2 β u
ij, u
0=u
1; Gx
kj (i)=gx
kj+ Δ x
i, each the feasible solution gx in solution space to Chaos Variable experience
kj (i), calculate its P value, obtain optimal value Pgf
kjwith optimal location Pgx
kj, use Pgx
kjthe position that replaces any one particle in current colony;
(8) if optimal value Pgf
kjbe less than certain value of setting, while meeting stop condition, search stops, and output global extremum position, exports the optimum voltage value of two squeezers, otherwise return to step (4).
2. right to use requires a polarization control method for the distributed optical fiber disturbance positioning system of system described in 1, it is characterized in that the implementation of the method is:
In distributed optical fiber disturbance positioning system, the light signal of sensor fibre one arm is input in Polarization Controller, after Polarization Control, two-way interference signal enters respectively two photodetectors, and data collecting card gathers two paths of signals and signal is sent into computer;
Computer is adjusted the position vector of each particle in Chaos particle swarm optimization algorithm according to the degree of correlation of fed back two-way interference signal, change each position vector corresponding be applied to the magnitude of voltage on Polarization Controller squeezer, the polarization state of Polarization Controller incident light wave is carried out continuous control and utilized feedback signal to carry out optimal value search, until the degree of correlation of two paths of signals corresponding to feedback signal stops while meeting search end condition;
Described Chaos particle swarm optimization algorithm comprises:
Two squeezers of the Polarization Controller using in Polarization Control, this problem can be described in order to minor function:
P=f(V
1,V
2)
V wherein
i, i=1,2 are respectively the magnitude of voltage applying on two squeezers, and P is the degree of correlation of the two paths of signals that in now corresponding navigation system, two photodetectors receive; V when P reaches maximum
ivalue is for optimum voltage value, and now system is in optimum Working, thereby realized Polarization Control, improved the positioning precision of system;
Search procedure as the Chaos particle swarm optimization algorithm of Polarization Control algorithm is as follows:
(1) chaos initialization, produces one 2 dimension, the vectorial z of each component values between 0～1 at random
1=(z
11, z
12), by z
i+1j=μ z
ij(1-z
ij), i=1,2 ..., 99, j=1,2, μ=4, obtain 100 vectorial z
1, z
2... z
100; By z
ieach component carrier to the span of optimized variable: x
ij=a
j+ (b
j-a
j) z
ij, i=1,2 ..., 99, j=1,2, a
j, b
jbe respectively the minimum value and the maximum that are input to magnitude of voltage on squeezer; Calculating target function P selects 20 maximum solutions of P value as initial solution X from 100 initial population
i=(V
i1, V
i2), i=1,2 ..., 20, and produce at random 20 initial velocity v
i, i=1,2 ..., 20;
(2) be individual extreme value pfbest by the P of each primary is worthwhile
i0, initial solution X
ias individual extreme value place pxbest
i0; According to the individual extreme value pfbest of each particle
i0, find out global extremum gfbest
0with global extremum position gxbest
0;
(3) to extreme value place gxbest
0=(gx
01, gx
02) carry out chaos optimization, produce at random one 2 dimension, the vectorial u of each component values between 0～1
0=(u
01, u
02); Produce u
i=(u
i1, u
i2), u
i+1j=4u
ij(1-u
ij), (j=1,2), by u
ieach component carrier in chaotic disturbance scope [β, β], wherein β is a less constant of input voltage value on relative squeezer, disturbance quantity Δ x
i=(Δ x
i1, Δ x
i2) be Δ x
ij=-β+2 β u
ij, u
0=u
1; Gx
0j (i)=gx
0j+ Δ x
i; Each feasible solution gx in solution space to Chaos Variable experience
0j (i)calculate its P value, obtain optimal value Pgf
0jcorresponding optimal location Pgx with it
0j, use Pgx
0jthe position that replaces any one particle in current colony;
(4) according to formula
The more speed of new particle and position, wherein c
0, c
1, c
2for constant;
(5) if particle P value is better than individual extreme value pfbest
ik, pxbest
ikbe set to reposition;
(6) if particle P value is better than global extremum gfbest
k, gxbest
kbe set to reposition;
(7) to optimal location gxbest
k=(gx
k1, gx
k2) carry out chaos optimization, produce at random one 2 dimension, the vectorial u of each component values between 0～1
0=(u
01, u
02), produce u
i=(u
i1, u
i2), u
i+1j=4u
ij(1-u
ij), (j=0,1), by u
ieach component carrier in chaotic disturbance scope [β, β], disturbance quantity Δ x
i=(Δ x
i1, Δ x
i2) be Δ x
ij=-β+2 β u
ij, u
0=u
1;
each feasible solution in solution space to Chaos Variable experience
calculate its P value, obtain optimal value Pgf
kjwith optimal location Pgx
kj, use Pgx
kjthe position that replaces any one particle in current colony;
(8) if optimal value Pgf
kjbe less than certain value of setting, while meeting stop condition, search stops, and output global extremum position, exports the optimum voltage value of two squeezers, otherwise return to step (4).
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| CN103759806A (en) * | 2014-02-19 | 2014-04-30 | 南京昕天卫光电科技有限公司 | Polarization control device of optical fiber disturbance system |
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| CN103995468B (en) * | 2014-05-26 | 2017-01-11 | 天津大学 | Polarization control method, based on genetic algorithm, of optical fiber disturbance system and device thereof |
| CN103986522B (en) * | 2014-05-29 | 2016-07-06 | 中国科学技术大学 | A kind of polarization recovery methods |
| CN104406682B (en) * | 2014-10-10 | 2017-06-20 | 中国电子科技集团公司第四十一研究所 | A kind of pair of interference signal correlation adjusting method of Mach Zehnder fiber optic interferometric systems |
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| CN106885624A (en) * | 2017-03-21 | 2017-06-23 | 长春工业大学 | A kind of new distribution type Fibre Optical Sensor polarization control method |
| CN113639847A (en) * | 2021-08-06 | 2021-11-12 | 天津大学 | Pulse modulation and demodulation module and distributed optical fiber vibration sensing positioning method |
| CN114018391B (en) * | 2021-11-04 | 2023-09-26 | 全球能源互联网研究院有限公司 | Method and device for inhibiting interference light intensity fading |
| CN114993447B (en) * | 2022-06-09 | 2023-03-10 | 西北大学 | Distributed regional disturbance monitoring device and disturbance monitoring method |
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